# tf-coriander **Repository Path**: Pacoshao/tf-coriander ## Basic Information - **Project Name**: tf-coriander - **Description**: 网速太慢。。。 - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2021-01-15 - **Last Updated**: 2023-07-02 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Tensorflow-cl Run [Tensorflow](https://github.com/tensorflow/tensorflow) on OpenCL™ 1.2 devices - tested on: - Mac Sierra using Radeon Pro 450 GPU (thank you [ASAPP](http://asapp.com) :-) ) - Ubuntu 16.04, using NVIDIA K520 - should work theoretically on any OpenCL 1.2 GPU ## Piccie On a Mac: ## Execution speed - [Execution speed](doc/execution_speed.md) ## What's working - [What's working](doc/whats_working.md) ## Installation - [Installation](doc/installation.md) ## Tests - [Tests](doc/testing.md) ## Design/architecture - tensorflow code stays 100% [NVIDIA® CUDA™](https://www.nvidia.com/object/cuda_home_new.html) - [Coriander](https://github.com/hughperkins/Coriander) compiles the NVIDIA® CUDA™ code into OpenCL - Cedric Nugteren's [CLBlast](https://github.com/CNugteren/CLBlast) provides BLAS (matrix multiplications) Presentation on [Coriander](https://github.com/hughperkins/Coriander) at this year's [IWOCL 2017](http://www.iwocl.org/iwocl-2017/conference-program/) ## Related projects - [OpenCL Torch](https://github.com/hughperkins/distro-cl) - [DeepCL](https://github.com/hughperkins/DeepCL) ## News - June 11 2017: - set up Jenkins build, which makes build logs and a Ubuntu 16.04 wheel available for certain commits, https://github.com/hughperkins/tf-coriander/commits/example-jenkins-builds (click on one of the green ticks) - June 7 2017: - created [v0.18.3](https://github.com/hughperkins/tf-coriander/releases/tag/v0.18.3) release: - `tf.split` enabled - following examples from Aymeric Damien's [Tensorflow-Examples](https://github.com/aymericdamien/TensorFlow-Examples) run now: - [recurrent_network.py](https://github.com/hughperkins/TensorFlow-Examples/blob/enforce-gpu/examples/3_NeuralNetworks/recurrent_network.py) - [bidirectional_rnn.py](https://github.com/hughperkins/TensorFlow-Examples/blob/enforce-gpu/examples/3_NeuralNetworks/bidirectional_rnn.py) - [dynamic_rnn.py](https://github.com/hughperkins/TensorFlow-Examples/blob/enforce-gpu/examples/3_NeuralNetworks/dynamic_rnn.py)